@article{kirschvink1980least,
  title = {The least-squares line and plane and the analysis of
    palaeomagnetic data},
  author = {Kirschvink, J. L.},
  journal = {Geophysical Journal of the Royal Astronomical Society},
  volume = {62},
  number = {3},
  pages = {699--718},
  year = {1980},
  keywords = {principal component analysis; pca}
}

@article{mcfadden1988circles,
  author = {P. L. McFadden and M. W. McElhinny},
  title = {The combined analysis of remagnetization circles and direct
    observations in palaeomagnetism},
  journal = {Earth and Planetary Science Letters},
  year = {1988},
  volume = {87},
  pages = {161--172}
}

@book{tauxe2010paleomagnetism,
  title = {Essentials of paleomagnetism},
  author = {Tauxe, Lisa and Butler, Robert F. and Banerjee, Subir K. and Van
    der Voo, R.},
  publisher = {University of California Press},
  address = {Berkeley},
  year = {2010}
}

@article{tauxe1998directions,
  title = {Flow directions in dikes from anisotropy of magnetic
    susceptibility data: the bootstrap way},
  author = {Tauxe, L. and Gee, J. S. and Staudigel, H.},
  journal = {Journal of Geophysical Research},
  volume = {103},
  number = {B8},
  pages = {17775--17790},
  year = {1998},
  month = {August},
  publisher = {American Geophysical Union},
  papernumber = {98JB01077}
}


@article{hext1963tensors,
  author = {Hext, George R.},
  title = {The estimation of second-order tensors, with related tests and
    designs},
  volume = {50},
  number = {3-4},
  pages = {353--373},
  year = {1963},
  doi = {10.1093/biomet/50.3-4.353},
  abstract ={The tensors considered in this paper are the linear
    relationships between certain pairs of physical vector quantities which
    may be described by 3 × 3 symmetric matrices. Such a linear relationship
    may well vary from point to point in a non-homogeneous medium. From
    measurements at a given point in the medium, the least squares estimates
    of the components of the tensor at that point are obtained; from these
    the tensor's principal axes may be estimated. On the assumption that the
    errors of measurement are small and normally distributed, confidence
    intervals for the lengths of the principal axes are derived, together
    with confidence regions on the unit sphere for the directions of these
    axes.Tests for equality of pairs of principal axes, for isotropy, and for
    comparing the tensors at two or more points are given.In certain common
    experimental situations, a design for this work may be represented by a
    set of points on the unit sphere. If such a design is rotatable (Box &
    Hunter, 1957), the estimates have optimum properties, and the confidence
    intervals and regions take on particularly simple forms. Seven rotatable
    designs are given, which should cover most practical requirements.These
    results are illustrated with a numerical example and diagram, taken from
    recent work on rock magnetism. Finally, all the results are extended to
    more general symmetric matrices, and some further rotatable designs are
    given.},
  URL = {http://biomet.oxfordjournals.org/content/50/3-4/353.abstract},
  eprint = {http://biomet.oxfordjournals.org/content/50/3-4/353.full.pdf+html},
  journal = {Biometrika}
}

@article{lowrie1990identification,
  author = {Lowrie, W.},
  title = {Identification of ferromagnetic minerals in a rock by coercivity
    and unblocking temperature properties},
  journal = {Geophysical Research Letters},
  year = {1990},
  publisher = {AGU},
  volume = {17},
  number = {2},
  pages = {159--162},
  keywords = {1540 Geomagnetism and Paleomagnetism: Rock and mineral
    magnetism, 1594 Geomagnetism and Paleomagnetism: Instruments and
    techniques, 3994 Mineral Physics: Instruments and techniques, triaxial
    irm, rock magnetism, lowrie, thermal demagnetization, irm},
  abstract = {The common ferromagnetic minerals have distinctive,
    characteristic coercivities and thermomagnetic properties. The analysis of
    the acquisition curve of isothermal remanent magnetization (IRM) is a
    useful but often ambiguous diagnostic technique. For a more conclusive
    interpretation, IRM acquisition must be combined with subsequent thermal
    demagnetization of the IRM. A modification of this method is proposed as a
    more powerful analytical technique. Different coercivity fractions of IRM
    are remagnetized in successively smaller fields along three orthogonal
    directions. The thermal demagnetization of each orthogonal component of
    the composite IRM is then plotted separately. This method often gives a
    clearer interpretation of the ferromagnetic mineral content of a
    rock. Examples are described for limestone and sandstone samples.},
  issn = {0094-8276},
  doi = {10.1029/GL017i002p00159},
  url = {http://dx.doi.org/10.1029/GL017i002p00159}
}

@book{juneau2009jython,
  author = {Josh Juneau and Jim Baker and Leonardo Soto Munoz and Frank
    Wierzbicki and Viktor Ng},
  title = {The Definitive Guide to Jython},
  year = {2009},
  publisher = {Apress},
  isbn10 = {1430225270},
  isbn13 = {978-1430225270},
  address = {New York}
}

@book{butler1992paleomagnetism,
  title = {Paleomagnetism: Magnetic Domains to Geologic Terranes},
  author = {Robert F. Butler},
  publisher = {Blackwell Scientific},
  address = {Oxford},
  year = {1992},
  isbnX = {9780865420700, 086542070X}
}

@article{fisher1953sphere,
  title = {Dispersion on a sphere},
  author = {Fisher, R.},
  journal = {Proceedings of the Royal Society of London. Series A,
    Mathematical and Physical Sciences},
  pages = {295--305},
  volume = {217},
  year = {1953}
}

@article{lurcock2012puffinplot,
  author = {Lurcock, P. C. and Wilson, G. S.},
  title = {PuffinPlot: A versatile, user-friendly program for paleomagnetic
    analysis},
  journal = {Geochemistry, Geophysics, Geosystems},
  year = {2012},
  month = {Jun},
  day = {26},
  publisher = {AGU},
  volume = {13},
  pages = {Q06Z45},
  keywords = {graphical data display; magnetostratigraphy; paleomagnetism;
    data processing; u channel; computer software; 0520 Computational
    Geophysics: Data analysis: algorithms and implementation; 0530
    Computational Geophysics: Data presentation and visualization (1994);
    1594 Geomagnetism and Paleomagnetism: Instruments and techniques},
  abstract = {PuffinPlot is a user-friendly desktop application for analysis
    of paleomagnetic data, offering a unique combination of features. It runs
    on several operating systems, including Windows, Mac OS X, and Linux;
    supports both discrete and long core data; and facilitates analysis of
    very weakly magnetic samples. As well as interactive graphical operation,
    PuffinPlot offers batch analysis for large volumes of data, and a Python
    scripting interface for programmatic control of its features. Available
    data displays include demagnetization/intensity, Zijderveld, equal-area
    (for sample, site, and suite level demagnetization data, and for magnetic
    susceptibility anisotropy data), a demagnetization data table, and a
    natural remanent magnetization intensity histogram. Analysis types
    include principal component analysis, Fisherian statistics, and
    great-circle path intersections. The results of calculations can be
    exported as CSV (comma-separated value) files; graphs can be printed, and
    can also be saved as publication-quality vector files in SVG or PDF
    format. PuffinPlot is free, and the program, user manual, and fully
    documented source code may be downloaded from
    http://code.google.com/p/puffinplot/.},
  issn = {1525-2027},
  doi = {10.1029/2012GC004098},
  url = {http://dx.doi.org/10.1029/2012GC004098}
}
